Contributions

TOF – PET has increasingly been adopted as an important quantitative imaging tool in basic and clinical applications. We investigate an optimization-based image reconstruction (OBIR) method for the purposes of improving image quality and enabling reconstruction from low-count data. Our study indicates the OBIR method has the potential to enhance spatial/contrast resolution, signal-to-noise ratio, and axial volume coverage and to reduce false lesions over images reconstructed with the clinical TOF-PET algorithm…